vcov.gam {mgcv}R Documentation

Extract parameter (estimator) covariance matrix from GAM fit

Description

Extracts the Bayesian posterior covariance matrix of the parameters or frequentist covariance matrix of the parameter estimators from a fitted gam object.

Usage

## S3 method for class 'gam':
vcov(object, freq = TRUE, dispersion = NULL, ...)

Arguments

object fitted model object of class gam as produced by gam().
freq TRUE to return the frequentist covariance matrix of the parameter estimators, FALSE to return the Bayesian posterior covariance matrix of the parameters.
dispersion a value for the dispersion parameter: not normally used.
... other arguments, currently ignored.

Details

Basically, just extracts object$Ve or object$Vp from a gamObject.

Value

A matrix corresponding to the estimated frequentist covariance matrix of the model parameter estimators/coefficients, or the estimated posterior covariance matrix of the parameters, depending on the argument freq.

Author(s)

Henric Nilsson. Maintained by Simon N. Wood simon.wood@r-project.org

See Also

gam

Examples

 
n <- 100
x <- runif(n)
y <- sin(x*2*pi) + rnorm(n)*.2
mod <- gam(y~s(x,bs="cc",k=10),knots=list(x=seq(0,1,length=10)))
diag(vcov(mod))

[Package mgcv version 1.3-23 Index]